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Match Patterns in Data and Relationships
Find complex or recursive patterns without JOINs using expressive Cypher query language and graph algorithms.
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Visualize Data Patterns
Find hidden connections and relationships using Bloom and Neo4j Browser.
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Index-Free Adjacency
Navigate the graph without index lookups or JOINS, keeping processing time proportional to data size, making traversals lightning fast with index-free adjacency.
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Analytical and Transactional Workloads
Support diverse workloads to simplify data architecture. Automatically split analytical queries to run concurrently across multiple threads on multi-core CPUs for stronger results.
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Enrich Predictions and Inferences
Discover more insights using graph data science and machine-learning algorithms, such as pathfinding, centrality algorithms, community detection algorithms, and network embeddings.
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Native Graph Data Model
Eliminate the transition from data design to implementation. Use nodes, relationships, and properties to represent structured, semi-structured, and unstructured data naturally.
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Flexible Schema
Add new entities, properties, and relationships without rebuilding the database or modifying application code.
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Write Less Code With Cypher
Write less code using Cypher, a simple and expressive query language that often requires fewer lines of code than SQL (for RDBMS) or SPARQL.
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Faster, Easier Development
Use 65+ pre-tuned graph data science algorithms for deeper data insights.
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99.95% Uptime SLA
High availability, reliability, and minimal downtime. Scale instances for data and compute needs, efficiently managing datasets and memory-intensive workloads.
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Zero Administration
Build apps without having to manage infrastructure. Get automatic service upgrades, security updates, and new features without interruption.
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Minimize Downtime and Data Loss
Restore databases with full or incremental backups across multiple zones, point-in-time recovery, and fully encrypted snapshots verified for data consistency.
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Multi-Cloud Freedom
Available on Amazon Web Services, Microsoft Azure, and Google Cloud in over 60 global regions.
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End-to-End Encryption
Data is encrypted at rest with customer-managed keys. Network traffic, even within service infrastructure, is encrypted via Transport Layer Security (TLS).
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Fine-Grained Access Control
Protect data from unauthorized access and enable selective graph traversals by controlling read/write access to different parts of the graph.
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Network Security
Segregate network traffic and resources to prevent unauthorized access. You also reduce the risk of security breaches with network isolation and private endpoints.
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Comply With Industry Regulations
Adhere to industry compliance standards for data security and privacy regulations, such as ISO 27001, ISO 20243, GDPR, CCPA, SOC2 Type II, SOC3, and HIPAA.
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